In vivo mapping of protein-protein interactions of schizophrenia risk factors generates an interconnected disease network.
Ontology highlight
ABSTRACT:
INSTRUMENT(S): LTQ Orbitrap Elite
ORGANISM(S): Rattus Norvegicus (ncbitaxon:10116)
SUBMITTER: 
John R. Yates III
PROVIDER: MSV000093425 | MassIVE | Fri Nov 17 11:59:00 GMT 2023
SECONDARY ACCESSION(S): PXD047042
REPOSITORIES: MassIVE
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Project description:Schizophrenia is a complex psychiatric disorder encompassing a range of symptoms and etiology dependent upon the interaction of genetic and environmental factors. Several risk genes, such as DISC1, have been associated with schizophrenia as well as bipolar disorder (BPD) and major depressive disorder (MDD), consistent with the hypothesis that a shared genetic architecture could contribute to divergent clinical syndromes. The present study compared gene expression profiles across three brain regions in post-mortem tissue from matched subjects with schizophrenia, BPD or MDD and unaffected controls. Post-mortem brain tissue was collected from control subjects and well-matched subjects with schizophrenia, BPD, and MDD (n=19 from each group). RNA was isolated from hippocampus, Brodmann Area 46, and associative striatum and hybridized to U133_Plus2 Affymetrix chips. Data were normalized by RMA, subjected to pairwise comparison followed by Benjamini and Hochberg False Discovery Rate correction (FDR). Samples derived from patients with schizophrenia exhibited many more changes in gene expression across all brain regions than observed in BPD or MDD. Several genes showed changes in both schizophrenia and BPD, though the magnitude of change was usually larger in schizophrenia. Several genes that have variants associated with schizophrenia were found to have altered expression in multiple regions of brains from subjects with schizophrenia. Continued evaluation of circuit-level alterations in gene expression and gene-network relationships may further our understanding of how genetic variants may be influencing biological processes to contribute to psychiatric disease. Pre-frontal cortex, striatum and hippocampus were obtained from subjects with schizophrenia, bipolar disorder, major depressive disorder and matched controls.
2014-01-11 | E-GEOD-53987 | biostudies-arrayexpress
Project description:Hsu Y, Nacu E, Liu R, Kim A, Tsafou K, Petrossian N, Crotty W, Suh JM, Pintacuda G, Riseman J, Martin J, Malolepsza E, Li T, Singh T, Ge T, Egri SB, Tanenbaum B, Stanclift CR, Apffel AM, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Stanley Global Asia Initiatives, Carr SA, Schenone M, Jaffe J, Fornelos N, Huang H, Eggan KC, Lage K. 2021. Genetics have nominated many schizophrenia risk genes that lack functional interpretation. To empower such interpretation, we executed interaction proteomics for six risk genes in human induced neurons and found the resulting protein network to be enriched for common variant risk of schizophrenia in Europeans and East Asians. The network is down-regulated in layer 5/6 cortical neurons of patients and can complement fine-mapping and eQTL data to prioritize additional genes in GWAS loci. A sub-network centered on HCN1 is enriched for common variant risk and also contains proteins (HCN4 and AKAP11) enriched for rare protein-truncating mutations in patients with schizophrenia and bipolar disease. Our findings establish brain cell-type-specific interactomes as an organizing framework to facilitate interpretation of genetic and transcriptomic data in schizophrenia and psychiatric diseases.
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Project description:A large portion of common variant loci associated with genetic risk for schizophrenia reside within non-coding sequence of unknown function. Here, we demonstrate promoter and enhancer enrichment in schizophrenia variants associated with expression quantitative trait loci (eQTL). The enrichment is greater when functional annotations derived from human brain are used relative to peripheral tissues. Regulatory trait concordance analysis ranked genes within schizophrenia genome-wide significant loci, based on co-localization of a risk SNP, eQTL and regulatory element sequence. These include physical interactions of non-contiguous gene-proximal and distal elements bypassing the linear genome, which was verified in prefrontal cortex and human induced pluripotent stem cell derived neurons for the L-type calcium channel (CACNA1C) risk locus. Our findings point to a functional link between schizophrenia-associated non-coding SNPs and 3-dimensional genome architecture associated with chromosomal loopings and transcriptional regulation in the brain. Examination of H3K4me3 histone modifications in 3 samples.
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Project description:Background Chromosome 16p11.2 is one of the most significant loci in the genome-wide association study (GWAS) of schizophrenia. Despite several integrative analyses and functional genomics studies have been carried out to identify possible risk genes, their impacts in the pathogenesis of schizophrenia remain to be fully characterized. Methods We performed expression quantitative trait loci (eQTL) and summary-data-based Mendelian randomization (SMR) analyses to identify schizophrenia risk genes in the 16p11.2 GWAS locus. We constructed the murine model with dysregulated expression of risk gene in the medial prefrontal cortex (mPFC) using stereotaxic injection of Adeno-associated Virus (AAV), followed by behavioral assessments, dendritic spine analyses and RNA sequencing. Findings We identified significant associations between elevated INO80E mRNA expression in frontal cortex and risk of schizophrenia. The mice overexpressing Ino80e in mPFC (Ino80e-OE) exhibited schizophrenia-like behaviors, including increased anxiety behavior, anhedonia, and impaired prepulse inhibition (PPI) when compared with control group. The neuronal sparse labeling assay showed that the density of mushroom spines in the pyramidal neurons of mPFC was significantly decreased in Ino80e-OE mice compared with control mice, accompanied by a notable increase in the density of stubby spines. Transcriptomic analysis in the mPFC revealed significant alterations in the mRNA levels of schizophrenia-related genes and processes related to synapses upon overexpressing Ino80e . Interpretation Our results suggest that upregulation of the Ino80e gene in mPFC may induce schizophrenia-like behaviors in mice, further supporting the hypothesis that INO80E is an authentic risk gene.
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Project description:To address the heterogeneity of gene regulation and expression in cell types of a brain region with strong evidence for relevance to schizophrenia, we carried out whole genome methylation and expression analyses using post-mortem brain tissue from BA46 that underwent fluorescence-activated nuclei sorting (FANS). Importantly, we used whole genome bisulfite sequencing (WGBS) for methylation quantification to have an unbiased assessment of epigenetic modifications associated with schizophrenia, and additionally carried out whole genome sequencing (WGS) of the brain samples to account for genetic background differences. We found that a number of schizophrenia GWAS loci overlap with sites of cell-specific differential methylation in schizophrenia brain tissue. Differential methylation is also associated with differential gene expression in a cell-specific manner. Co-expression network analysis can identify groups of genes that are enriched for differentially methylated regions in each cell type, and these groups of co-expressed genes underscore shared molecular pathways that might be at risk in schizophrenia. Together, these data indicate that the integration of multiple levels of data in a cell-specific manner can provide novel biological insights into complex genetic disorders such as schizophrenia.
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Project description:Schizophrenia is a complex psychiatric disorder encompassing a range of symptoms and etiology dependent upon the interaction of genetic and environmental factors. Several risk genes, such as DISC1, have been associated with schizophrenia as well as bipolar disorder (BPD) and major depressive disorder (MDD), consistent with the hypothesis that a shared genetic architecture could contribute to divergent clinical syndromes. The present study compared gene expression profiles across three brain regions in post-mortem tissue from matched subjects with schizophrenia, BPD or MDD and unaffected controls. Post-mortem brain tissue was collected from control subjects and well-matched subjects with schizophrenia, BPD, and MDD (n=19 from each group). RNA was isolated from hippocampus, Brodmann Area 46, and associative striatum and hybridized to U133_Plus2 Affymetrix chips. Data were normalized by RMA, subjected to pairwise comparison followed by Benjamini and Hochberg False Discovery Rate correction (FDR). Samples derived from patients with schizophrenia exhibited many more changes in gene expression across all brain regions than observed in BPD or MDD. Several genes showed changes in both schizophrenia and BPD, though the magnitude of change was usually larger in schizophrenia. Several genes that have variants associated with schizophrenia were found to have altered expression in multiple regions of brains from subjects with schizophrenia. Continued evaluation of circuit-level alterations in gene expression and gene-network relationships may further our understanding of how genetic variants may be influencing biological processes to contribute to psychiatric disease.
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Project description:A large portion of common variant loci associated with genetic risk for schizophrenia reside within non-coding sequence of unknown function. Here, we demonstrate promoter and enhancer enrichment in schizophrenia variants associated with expression quantitative trait loci (eQTL). The enrichment is greater when functional annotations derived from human brain are used relative to peripheral tissues. Regulatory trait concordance analysis ranked genes within schizophrenia genome-wide significant loci, based on co-localization of a risk SNP, eQTL and regulatory element sequence. These include physical interactions of non-contiguous gene-proximal and distal elements bypassing the linear genome, which was verified in prefrontal cortex and human induced pluripotent stem cell derived neurons for the L-type calcium channel (CACNA1C) risk locus. Our findings point to a functional link between schizophrenia-associated non-coding SNPs and 3-dimensional genome architecture associated with chromosomal loopings and transcriptional regulation in the brain.
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